Search Results for author: Zheng Zhong

Found 5 papers, 1 papers with code

Adversarial Attack on Deep Learning-Based Splice Localization

1 code implementation17 Apr 2020 Andras Rozsa, Zheng Zhong, Terrance E. Boult

Regarding image forensics, researchers have proposed various approaches to detect and/or localize manipulations, such as splices.

Adversarial Attack Adversarial Robustness +1

Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images

no code implementations26 Mar 2020 Zhenyu Tang, Wei Zhao, Xingzhi Xie, Zheng Zhong, Feng Shi, Jun Liu, Dinggang Shen

Purpose: Using machine learning method to realize automatic severity assessment (non-severe or severe) of COVID-19 based on chest CT images, and to explore the severity-related features from the resulting assessment model.

Computed Tomography (CT)

To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics

no code implementations11 Aug 2019 Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Terrance E. Boult, Maneesh Singh

We propose an innovative method to formulate the issue of localizing manipulated regions in an image as a deep representation learning problem using the Information Bottleneck (IB), which has recently gained popularity as a framework for interpreting deep neural networks.

Image Forensics Representation Learning +1

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